Large-scale spatial synchrony in red squirrel populations driven by a bottom-up effect

• Published in: Oecologia
• Main Authors: Turkia, Tytti, Jousimo, Jussi, Tiainen, Juha, Helle, Pekka, Rintala, Jukka, Hokkanen, Tatu, Valkama, Jari, Selonen, Vesa
• Other Authors: Ecology and Evolutionary Biology, Faculty of Biological and Environmental Sciences
• Format: Article in Journal/Newspaper
• Language: English
• Published: Springer 2020
• Subjects: Boreal forest; Population dynamics; Sciurus vulgaris; Trophic interactions; HABITAT SELECTION; SCIURUS-VULGARIS; PINE MARTEN; LONG-TERM; BREEDING PERFORMANCE; BIOTIC INTERACTIONS; NORTHERN GOSHAWK; BOREAL FORESTS; SEED CROP; DYNAMICS; 1172 Environmental sciences; 1181 Ecology; evolutionary biology; Norway; Accipiter gentilis; Northern Goshawk
• Online Access: http://hdl.handle.net/10138/313650

Spatial synchrony between populations emerges from endogenous and exogenous processes, such as intra- and interspecific interactions and abiotic factors. Understanding factors contributing to synchronous population dynamics help to better understand what determines abundance of a species. This study focuses on spatial and temporal dynamics in the Eurasian red squirrel (Sciurus vulgaris) using snow-track data from Finland from 29 years. We disentangled the effects of bottom-up and top-down forces as well as environmental factors on population dynamics with a spatiotemporally explicit Bayesian hierarchical approach. We found red squirrel abundance to be positively associated with both the abundance of Norway spruce (Picea abies) cones and the predators, the pine marten (Martes martes) and the northern goshawk (Accipiter gentilis), probably due to shared habitat preferences. The results suggest that red squirrel populations are synchronized over remarkably large distances, on a scale of hundreds of kilometres, and that this synchrony is mainly driven by similarly spatially autocorrelated spruce cone crop. Our research demonstrates how a bottom-up effect can drive spatial synchrony in consumer populations on a very large scale of hundreds of kilometres, and also how an explicit spatiotemporal approach can improve model performance for fluctuating populations. Peer reviewed